record-test

该数据集是一个机器人学数据集，使用LeRobot工具创建。它包含来自机器人（类型为so_follower）的动作和观测数据，动作包括6个关节位置（如肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置），观测状态包括相同的关节位置。数据集还提供了多视角的图像数据，包括头部深度图像、头部RGB图像和右侧图像，所有图像的分辨率为480x640像素，3个通道。数据以Parquet文件格式存储，并包含时间戳、帧索引、剧集索引等元数据，用于跟踪机器人任务的执行过程。数据集适用于机器人控制、模仿学习等研究任务。This is a robotics dataset constructed using the LeRobot toolkit. It contains action and observation data from a robot of type so_follower. The actions encompass six joint positions, namely shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position, while the observation states include the identical set of joint positions. Additionally, the dataset provides multi-view image data, including head-mounted depth images, head-mounted RGB images, and right-side images. All images have a resolution of 480x640 pixels and 3 channels. The data is stored in Parquet file format, and includes metadata such as timestamps, frame indices, and episode indices to track the execution process of robotic tasks. This dataset is applicable to research tasks including robot control and imitation learning.